Certificate in Algorithmic Problem Solving for Growth

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The Certificate in Algorithmic Problem Solving for Growth is a comprehensive course designed to enhance your problem-solving skills using algorithms. This course is crucial in today's data-driven world, where algorithms are the backbone of many technologies.

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AboutThisCourse

With the increasing demand for professionals who can design and implement efficient algorithms, this course provides a solid foundation in algorithmic problem-solving techniques. It equips learners with essential skills to tackle complex problems in various industries, including tech, finance, and healthcare. The course covers a range of topics, from basic data structures to advanced algorithmic techniques. By the end of the course, learners will have developed a strong understanding of algorithmic complexity and will be able to design and analyze efficient algorithms. This skillset is highly sought after in the job market and can significantly boost one's career advancement.

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โ€ข Unit 1: Introduction to Algorithmic Problem Solving
โ€ข Unit 2: Understanding Big O Notation and Time Complexity
โ€ข Unit 3: Data Structures: Arrays, Lists, and Stacks
โ€ข Unit 4: Data Structures: Queues and Trees
โ€ข Unit 5: Basic Algorithms: Searching and Sorting Techniques
โ€ข Unit 6: Graph Algorithms: Dijkstra's and Bellman-Ford Algorithms
โ€ข Unit 7: Dynamic Programming: Overlapping Subproblems and Memoization
โ€ข Unit 8: Greedy Algorithms and their Applications
โ€ข Unit 9: Divide and Conquer Algorithms: Binary Search and Merge Sort
โ€ข Unit 10: Backtracking Algorithms and the Traveling Salesman Problem

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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CERTIFICATE IN ALGORITHMIC PROBLEM SOLVING FOR GROWTH
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London School of International Business (LSIB)
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05 May 2025
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